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Table 4 KEGG pathways significantly enriched in high and low-risk groups

From: Co-expression network analysis identifies a gene signature as a predictive biomarker for energy metabolism in osteosarcoma

NameSizeESNESNOMFDRFWER
P-valP-valP-val
KEGG_NITROGEN_METABOLISM230.4971.5390.0370.4700.8
KEGG_LINOLEIC_ACID_METABOL ISM290.5731.5720.0440.7450.753
KEGG_PEROXISOME78− 0.483− 1.8710.0020.1510.176
KEGG_CHEMOKINE_SIGNALING_ PATHWAY185− 0.443− 1.7850.0060.1440.32
KEGG_FC_GAMMA_R_MEDIATED_GOCYTOSIS95− 0.479− 1.8210.0060.1190.244
KEGG_LEUKOCYTE_TRANSENDO THELIAL_MIGRATION115− 0.475− 1.8500.0080.1090.195
KEGG_PATHOGENIC_ESCHERICHI A_COLI_INFECTION55− 0.521− 1.8830.0100.2000.162
KEGG_LYSOSOME119− 0.568− 1.9560.0100.1670.081
KEGG_LEISHMANIA_INFECTION69− 0.608− 1.8660.0120.1180.178
KEGG_VIRAL_MYOCARDITIS68− 0.557− 1.7570.0120.1660.384
KEGG_ENDOCYTOSIS178− 0.378− 1.5810.0170.3170.729
KEGG_SNARE_INTERACTIONS_INICULAR_TRANSPORT38− 0.496− 1.6300.0220.2950.631
KEGG_GLUTATHIONE_METABOLI SM48− 0.455− 1.6480.0250.2830.605
KEGG_TOLL_LIKE_RECEPTOR_SI GNALING_PATHWAY101− 0.411− 1.5670.0320.3290.752
KEGG_ANTIGEN_PROCESSING_A ND_PRESENTATION79− 0.518− 1.6610.0330.2820.575
KEGG_COMPLEMENT_AND_COAG ULATION_CASCADES69− 0.457− 1.5900.0370.3180.715
KEGG_B_CELL_RECEPTOR_SIGNA LING_PATHWAY74− 0.427− 1.5910.0370.3390.714
KEGG_NOD_LIKE_RECEPTOR_SIG NALING_PATHWAY61− 0.454− 1.5980.0370.3510.703
G_ACUTE_MYELOID_LEUKEMA57− 0.445− 1.5480.0410.3160.782